27 citations · 54 across the 15 of their papers we have counts for
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Inferring Cosmology and Astrophysics from the High-redshift 21cm Signal with SKA-Low
Anshuman Acharya, Satadru Bag, Sabrina Berger +29
The Square Kilometre Array's low frequency telescope (SKA-Low) will enable inference of astrophysical and cosmological parameters from the redshifted 21 cm signal, probing the Cosm…
Overview of 21cm Experiments at high redshift with SKAO
CD Science Working Group, Gianni Bernardi, Daniela Breitman +81
We provide an overview of the eight SKAO Science Book chapters that motivate the Epoch of Reionisation and Cosmic Dawn experiments with SKA-Low. We describe the individual SKA-Low…
Constraints on the galaxy formation models during epoch of reionization with high redshift observations
Qing-Bo Ma, Xiao-Rong Chen, Ming Li +4
We use high resolution N-body dark matter simulations and L-Galaxies semi-analytical galaxy formation models to explore the high- galaxy properties and estimate the budget of io…
Deeper multi-redshift upper limits on the Epoch of Reionization 21-cm signal power spectrum from LOFAR between z=8.3 and z=10.1
F. G. Mertens, M. Mevius, L. V. E. Koopmans +20
We present new upper limits on the 21-cm signal power spectrum from the Epoch of Reionization (EoR), at redshifts , based on reprocessed obse…
Spectral modelling of Cygnus A between 110 and 250 MHz. Impact on the LOFAR 21-cm signal power spectrum
E. Ceccotti, A. R. Offringa, L. V. E. Koopmans +15
Studying the redshifted 21-cm signal from the the neutral hydrogen during the Epoch of Reionization and Cosmic Dawn is fundamental for understanding the physics of the early univer…
Exploring the effect of different cosmologies on the Epoch of Reionization 21-cm signal with POLAR
Anshuman Acharya, Qing-bo Ma, Sambit K. Giri +8
A detection of the 21-cm signal power spectrum from the Epoch of Reionization is imminent, thanks to consistent advancements from telescopes such as LOFAR, MWA, and HERA, along wit…
Revised LOFAR upper limits on the 21-cm signal power spectrum at using Machine Learning and Gaussian Process Regression
Anshuman Acharya, Florent Mertens, Benedetta Ciardi +3
The use of Gaussian Process Regression (GPR) for foregrounds mitigation in data collected by the LOw-Frequency ARray (LOFAR) to measure the high-redshift 21-cm signal power spectru…
Inferring IGM parameters from the redshifted 21-cm Power Spectrum using Artificial Neural Networks
Madhurima Choudhury, Raghunath Ghara, Saleem Zaroubi +8
The high redshift 21-cm signal promises to be a crucial probe of the state of the intergalactic medium (IGM). Understanding the connection between the observed 21-cm power spectrum…
Probing the intergalactic medium during the Epoch of Reionization using 21-cm signal power spectra
Raghunath Ghara, Abinash Kumar Shaw, Saleem Zaroubi +9
The redshifted 21-cm signal from the epoch of reionization (EoR) directly probes the ionization and thermal states of the intergalactic medium during that period. In particular, th…
21-cm Signal from the Epoch of Reionization: A Machine Learning upgrade to Foreground Removal with Gaussian Process Regression
Anshuman Acharya, Florent Mertens, Benedetta Ciardi +7
In recent years, a Gaussian Process Regression (GPR) based framework has been developed for foreground mitigation from data collected by the LOw-Frequency ARray (LOFAR), to measure…
Cosmic variance suppression in radiation-hydrodynamic modeling of the reionization-era 21-cm signal
Anshuman Acharya, Enrico Garaldi, Benedetta Ciardi +1
The 21-cm line emitted by neutral hydrogen is the most promising probe of the Epoch of Reionization (EoR). Multiple radio interferometric instruments are on the cusp of detecting i…